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#include "engine/framework/audio/utility_api.h"
#include "engine/framework/audio/conversion.h"
#include "engine/framework/audio/deepfilternet2.h"
#include "engine/framework/audio/flashsr.h"
#include "engine/framework/audio/gtcrn.h"
#include "engine/framework/audio/rnnoise.h"
#include "engine/framework/audio/wav_reader.h"
#include "engine/framework/audio/wav_writer.h"
#include "engine/framework/audio/zipenhancer.h"
#include <algorithm>
#include <cctype>
#include <array>
#include <stdexcept>
#include <string>
#include <string_view>
namespace engine::audio {
namespace {
std::filesystem::path require_model_dir(const AudioUtilityPaths & paths, const char * name) {
const auto dir = paths.assets_root / name;
if (!std::filesystem::is_directory(dir)) {
throw std::runtime_error("audio utility assets directory is missing: " + dir.string());
}
return dir;
}
bool is_wav_file(const std::filesystem::path & path) {
auto ext = path.extension().string();
std::transform(ext.begin(), ext.end(), ext.begin(), [](unsigned char ch) {
return static_cast<char>(std::tolower(ch));
});
return ext == ".wav";
}
std::vector<std::filesystem::path> sorted_wav_files(const std::filesystem::path & input_dir) {
if (!std::filesystem::is_directory(input_dir)) {
throw std::runtime_error("audio utility input directory is missing: " + input_dir.string());
}
std::vector<std::filesystem::path> files;
for (const auto & entry : std::filesystem::directory_iterator(input_dir)) {
if (entry.is_regular_file() && is_wav_file(entry.path())) {
files.push_back(entry.path());
}
}
std::sort(files.begin(), files.end());
if (files.empty()) {
throw std::runtime_error("audio utility input directory contains no WAV files: " + input_dir.string());
}
return files;
}
std::filesystem::path output_path_for(
const std::filesystem::path & input_file,
const std::filesystem::path & output_dir,
const std::string & suffix) {
std::filesystem::create_directories(output_dir);
return output_dir / (input_file.stem().string() + suffix + ".wav");
}
void create_output_parent(const std::filesystem::path & output_wav) {
const auto parent = output_wav.parent_path();
if (!parent.empty()) {
std::filesystem::create_directories(parent);
}
}
std::vector<float> read_mono_resampled(const std::filesystem::path & path, int sample_rate) {
return read_wav_f32_as_mono_linear_resampled(path, sample_rate);
}
[[noreturn]] void throw_unsupported_model(std::string_view task, std::string_view model, std::string_view valid_models) {
throw std::runtime_error(
"unsupported audio utility model for " + std::string(task) + ": " + std::string(model) +
" (valid: " + std::string(valid_models) + ")");
}
std::filesystem::path gtcrn_checkpoint_for(const AudioUtilityPaths & paths, std::string_view model) {
const auto dir = require_model_dir(paths, "gtcrn");
if (model == "gtcrn" || model == "gtcrn_streaming") {
return dir / "gtcrn_streaming.safetensors";
}
if (model == "gtcrn_dns3") {
return dir / "gtcrn_dns3.safetensors";
}
if (model == "gtcrn_vctk") {
return dir / "gtcrn_vctk.safetensors";
}
throw_unsupported_model("denoise", model, "deepfilternet2, gtcrn, gtcrn_dns3, gtcrn_vctk, gtcrn_streaming, rnnoise, zipenhancer");
}
bool is_gtcrn_model(std::string_view model) {
return model == "gtcrn" || model == "gtcrn_dns3" || model == "gtcrn_vctk" || model == "gtcrn_streaming";
}
constexpr std::array<BuiltinAudioUtilityInfo, 8> kBuiltinUtilities{{
{"deepfilternet2", BuiltinAudioUtilityKind::Denoise, 48000, 48000},
{"rnnoise", BuiltinAudioUtilityKind::Denoise, 48000, 48000},
{"zipenhancer", BuiltinAudioUtilityKind::Denoise, 16000, 16000},
{"gtcrn", BuiltinAudioUtilityKind::Denoise, 16000, 16000},
{"gtcrn_streaming", BuiltinAudioUtilityKind::Denoise, 16000, 16000},
{"gtcrn_dns3", BuiltinAudioUtilityKind::Denoise, 16000, 16000},
{"gtcrn_vctk", BuiltinAudioUtilityKind::Denoise, 16000, 16000},
{"flashsr", BuiltinAudioUtilityKind::SuperResolve, 16000, 48000},
}};
} // namespace
std::filesystem::path default_audio_utility_assets_root() {
return std::filesystem::path("assets/framework/audio_utilities");
}
std::vector<BuiltinAudioUtilityInfo> list_builtin_audio_utilities() {
return std::vector<BuiltinAudioUtilityInfo>(kBuiltinUtilities.begin(), kBuiltinUtilities.end());
}
std::optional<BuiltinAudioUtilityInfo> find_builtin_audio_utility(std::string_view model) {
const auto it = std::find_if(
kBuiltinUtilities.begin(),
kBuiltinUtilities.end(),
[&](const BuiltinAudioUtilityInfo & info) {
return info.id == model;
});
if (it == kBuiltinUtilities.end()) {
return std::nullopt;
}
return *it;
}
BuiltinAudioUtilityInfo require_builtin_audio_utility(std::string_view model) {
if (auto info = find_builtin_audio_utility(model)) {
return *info;
}
throw_unsupported_model(
"builtin_audio_utils",
model,
"deepfilternet2, rnnoise, zipenhancer, gtcrn, gtcrn_streaming, gtcrn_dns3, gtcrn_vctk, flashsr");
}
std::filesystem::path resolve_builtin_audio_utility_asset(
const AudioUtilityPaths & paths,
std::string_view model) {
(void) require_builtin_audio_utility(model);
if (model == "deepfilternet2") {
return require_model_dir(paths, "deepfilternet2");
}
if (model == "rnnoise") {
return require_model_dir(paths, "rnnoise") / "rnnoise10Gb_15.safetensors";
}
if (model == "zipenhancer") {
return require_model_dir(paths, "zipenhancer");
}
if (is_gtcrn_model(model)) {
return gtcrn_checkpoint_for(paths, model);
}
if (model == "flashsr") {
return require_model_dir(paths, "flashsr");
}
throw_unsupported_model("builtin_audio_utils", model, "");
}
void denoise_file(
const std::filesystem::path & input_wav,
const std::filesystem::path & output_wav,
std::string_view model,
const AudioUtilityPaths & paths) {
if (model == "deepfilternet2") {
const auto denoiser = DeepFilterNet2Model::load_from_directory(require_model_dir(paths, "deepfilternet2"), paths.backend);
const auto input = read_mono_resampled(input_wav, 48000);
const auto output = denoiser.run_mono_48k(input);
create_output_parent(output_wav);
write_pcm16_wav(output_wav, output.sample_rate, 1, output.samples);
return;
}
if (model == "rnnoise") {
const auto denoiser = RnnoiseModel::load_from_safetensors(
require_model_dir(paths, "rnnoise") / "rnnoise10Gb_15.safetensors",
paths.backend);
const auto input = read_mono_resampled(input_wav, 48000);
const auto output = denoiser.process_mono_48k(input);
create_output_parent(output_wav);
write_pcm16_wav(output_wav, output.sample_rate, 1, output.samples);
return;
}
if (model == "zipenhancer") {
const auto denoiser = ZipEnhancerModel::load_from_directory(require_model_dir(paths, "zipenhancer"), paths.backend);
const auto input = read_mono_resampled(input_wav, 16000);
const auto output = denoiser.denoise_mono_16k(input);
create_output_parent(output_wav);
write_pcm16_wav(output_wav, output.sample_rate, 1, output.samples);
return;
}
if (is_gtcrn_model(model)) {
const auto denoiser = GTCRNModel::load_from_safetensors(gtcrn_checkpoint_for(paths, model), paths.backend);
const auto input = read_mono_resampled(input_wav, 16000);
const auto output = denoiser.denoise_mono_16k(input);
create_output_parent(output_wav);
write_pcm16_wav(output_wav, output.sample_rate, 1, output.samples);
return;
}
throw_unsupported_model("denoise", model, "deepfilternet2, gtcrn, gtcrn_dns3, gtcrn_vctk, gtcrn_streaming, rnnoise, zipenhancer");
}
AudioUtilityBatchResult denoise_directory(
const std::filesystem::path & input_dir,
const std::filesystem::path & output_dir,
std::string_view model,
const AudioUtilityPaths & paths) {
if (model != "deepfilternet2" && model != "rnnoise" && model != "zipenhancer" && !is_gtcrn_model(model)) {
throw_unsupported_model("denoise", model, "deepfilternet2, gtcrn, gtcrn_dns3, gtcrn_vctk, gtcrn_streaming, rnnoise, zipenhancer");
}
AudioUtilityBatchResult result;
if (model == "deepfilternet2") {
const auto denoiser = DeepFilterNet2Model::load_from_directory(require_model_dir(paths, "deepfilternet2"), paths.backend);
for (const auto & input_file : sorted_wav_files(input_dir)) {
const auto output_file = output_path_for(input_file, output_dir, "_deepfilternet2");
const auto input = read_mono_resampled(input_file, 48000);
const auto output = denoiser.run_mono_48k(input);
write_pcm16_wav(output_file, output.sample_rate, 1, output.samples);
result.outputs.push_back(output_file);
}
return result;
}
if (model == "zipenhancer") {
const auto denoiser = ZipEnhancerModel::load_from_directory(require_model_dir(paths, "zipenhancer"), paths.backend);
for (const auto & input_file : sorted_wav_files(input_dir)) {
const auto output_file = output_path_for(input_file, output_dir, "_zipenhancer");
const auto input = read_mono_resampled(input_file, 16000);
const auto output = denoiser.denoise_mono_16k(input);
write_pcm16_wav(output_file, output.sample_rate, 1, output.samples);
result.outputs.push_back(output_file);
}
return result;
}
if (is_gtcrn_model(model)) {
const auto denoiser = GTCRNModel::load_from_safetensors(gtcrn_checkpoint_for(paths, model), paths.backend);
for (const auto & input_file : sorted_wav_files(input_dir)) {
const auto output_file = output_path_for(input_file, output_dir, "_" + std::string(model));
const auto input = read_mono_resampled(input_file, 16000);
const auto output = denoiser.denoise_mono_16k(input);
write_pcm16_wav(output_file, output.sample_rate, 1, output.samples);
result.outputs.push_back(output_file);
}
return result;
}
const auto denoiser = RnnoiseModel::load_from_safetensors(
require_model_dir(paths, "rnnoise") / "rnnoise10Gb_15.safetensors",
paths.backend);
for (const auto & input_file : sorted_wav_files(input_dir)) {
const auto output_file = output_path_for(input_file, output_dir, "_rnnoise");
const auto input = read_mono_resampled(input_file, 48000);
const auto output = denoiser.process_mono_48k(input);
write_pcm16_wav(output_file, output.sample_rate, 1, output.samples);
result.outputs.push_back(output_file);
}
return result;
}
void super_resolve_file(
const std::filesystem::path & input_wav,
const std::filesystem::path & output_wav,
std::string_view model,
const AudioUtilityPaths & paths) {
if (model != "flashsr") {
throw_unsupported_model("super_resolve", model, "flashsr");
}
const auto super_resolver = FlashSrModel::load_from_directory(require_model_dir(paths, "flashsr"), paths.backend);
const auto input = read_mono_resampled(input_wav, 16000);
const auto output = super_resolver.super_resolve_mono_16k(input);
create_output_parent(output_wav);
write_pcm16_wav(output_wav, output.sample_rate, 1, output.samples);
}
AudioUtilityBatchResult super_resolve_directory(
const std::filesystem::path & input_dir,
const std::filesystem::path & output_dir,
std::string_view model,
const AudioUtilityPaths & paths) {
if (model != "flashsr") {
throw_unsupported_model("super_resolve", model, "flashsr");
}
const auto super_resolver = FlashSrModel::load_from_directory(require_model_dir(paths, "flashsr"), paths.backend);
AudioUtilityBatchResult result;
for (const auto & input_file : sorted_wav_files(input_dir)) {
const auto output_file = output_path_for(input_file, output_dir, "_flashsr");
const auto input = read_mono_resampled(input_file, 16000);
const auto output = super_resolver.super_resolve_mono_16k(input);
write_pcm16_wav(output_file, output.sample_rate, 1, output.samples);
result.outputs.push_back(output_file);
}
return result;
}
} // namespace engine::audio